Computer Vision

Leave a comment Posted on Computer Vision, Deep Learning, Machine Learning, OpenCV, Python

Conda Python 3.5 and OpenCV 3 with Matplotlib and QT5 backend

As title suggests lets get to work:

Create the Conda Environment with Python 3.5

$ conda create -n python35 python=35
$ conda activate python35

Inside the conda environment we need to install pyqt5, pyside, pyobj-core, pyobjc-framework-cocoa packages:

Installing QT5 required packages inside Conda:

$ conda install -c dsdale24 pyqt5
$ conda install -c conda-forge pyside
## Note: I couldn;t find these with conda on conda-forge so used pip
$ pip install pyobjc-core
$ pip install pyobjc-framework-cocoa

Verifying Python 3.5:

$ python

Python 3.5.4 |Anaconda, Inc.| (default, Feb 19 2018, 11:51:41)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>>

Checking backend used by matplotlib:

import matplotlib
matplotlib.get_backend()

If you see ‘MacOSX‘ means it is using MacOSX backend and we need to change it to qt as below:

Changing matplotlib backend to use QT5:

matplotlib.use('qt5agg')
matplotlib.get_backend()

This will result as qt5agg backend to be used with CV2.

Sample code to show image using OpenCV3

Trying a sample OpenCV3 code to show image:

import cv2
image = cv2.imread("/work/src/github/aiprojects/avkash_cv/matrix.png")
import matplotlib.pyplot as plt
plt.figure()
plt.imshow(image)
plt.show()

This is how image rendered with QT5 backend:

matrix

That’s it, enjoy!!

@avkashchauhan

 

 

 

 

 

 

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Leave a comment Posted on Computer Vision, Deep Learning, Machine Learning, OpenCV, Python

Compile OpenCV3 with Python3.5 Conda environment on OSX Sierra

As title suggests, lets get is going…

Create the Conda Environment with Python 3.5

$ conda create -n python35 python=35
$ conda activate python35

Verify the Conda Environment with python 3.5

$ python 
Python 2.7.14 |Anaconda custom (64-bit)| (default, Dec 7 2017, 11:07:58)

Now we will install tensorflow latest which will install lots of required dependency I really needed:

$ conda install -c conda-forge tensorflow

Python run time environment and Folder

Now we will look to confirm the python path

$ which python
/Users/avkashchauhan/anaconda3/bin/python

Now we need to find out where the Python.h header file is which will be used as the values for PYTHON3_INCLUDE_DIR later:

$ ll /Users/avkashchauhan/anaconda3/envs/python35/include/python3.5m/Python.h

Now we need to find out where the libpython3.5m.dylib library file is which will be used as the values forPYTHON3_LIBRARY later:

$ ll /Users/avkashchauhan/anaconda3/envs/python35/lib/libpython3.5m.dylib

Lets clone the OpenCV master repo and opencv_contrib at the same base folder and as below:

$ git clone https://github.com/opencv/opencv
$ git clone https://github.com/opencv/opencv_contrib

Lets create the build environment:

$ cd opencv
$ mkdir build
$ cd build

Now Lets configure the build environment first:

$ cmake -D CMAKE_BUILD_TYPE=RELEASE \
 -D CMAKE_INSTALL_PREFIX=/usr/local \
 -D OPENCV_EXTRA_MODULES_PATH=../../opencv_contrib/modules \
 -D PYTHON3_LIBRARY=/Users/avkashchauhan/anaconda3/envs/python35/lib/libpython3.5m.dylib \
 -D PYTHON3_INCLUDE_DIR=/Users/avkashchauhan/anaconda3/envs/python35/include/python3.5m/ \
 -D PYTHON3_EXECUTABLE=/Users/avkashchauhan/anaconda3/envs/python35/bin/python \
 -D BUILD_opencv_python2=OFF \
 -D BUILD_opencv_python3=ON \
 -D INSTALL_PYTHON_EXAMPLES=ON \
 -D INSTALL_C_EXAMPLES=OFF \
 -D BUILD_EXAMPLES=ON ..

The configuration shows following key settings:

......
......
-- Found PythonInterp: /Users/avkashchauhan/anaconda3/bin/python2.7 (found suitable version "2.7.14", minimum required is "2.7")
-- Could NOT find PythonLibs: Found unsuitable version "2.7.10", but required is exact version "2.7.14" (found /usr/lib/libpython2.7.dylib)
-- Found PythonInterp: /Users/avkashchauhan/anaconda3/envs/python35/bin/python (found suitable version "3.5.4", minimum required is "3.4")
-- Found PythonLibs: YYY (Required is exact version "3.5.4")
....
-- Python 3:
-- Interpreter: /Users/avkashchauhan/anaconda3/envs/python35/bin/python (ver 3.5.4)
-- Libraries: YYY
-- numpy: /Users/avkashchauhan/anaconda3/envs/python35/lib/python3.5/site-packages/numpy/core/include (ver 1.12.1)
-- packages path: lib/python3.5/site-packages
--
-- Python (for build): /Users/avkashchauhan/anaconda3/bin/python2.7
-- Pylint: /Users/avkashchauhan/anaconda3/bin/pylint (ver: 1.8.2, checks: 116)
--
General configuration for OpenCV 3.4.1-dev =====================================
-- Version control: 3.4.1-26-g667f5b655

Building the OpenCV code:

Now lets build the code:

$ make -j4

The successful build output end with the following console log:

Scanning dependencies of target example_face_facemark_demo_aam
[ 99%] Building CXX object modules/face/CMakeFiles/example_face_facemark_demo_aam.dir/samples/facemark_demo_aam.cpp.o
[ 99%] Linking CXX executable ../../bin/example_face_facemark_lbf_fitting
[ 99%] Built target example_face_facemark_lbf_fitting
[ 99%] Building CXX object modules/face/CMakeFiles/opencv_test_face.dir/test/test_facemark_lbf.cpp.o
[ 99%] Linking CXX executable ../../bin/example_face_facerec_save_load
[ 99%] Built target example_face_facerec_save_load
[ 99%] Building CXX object modules/face/CMakeFiles/opencv_test_face.dir/test/test_loadsave.cpp.o
[100%] Building CXX object modules/face/CMakeFiles/opencv_test_face.dir/test/test_main.cpp.o
[100%] Linking CXX executable ../../bin/example_face_facemark_demo_aam
[100%] Built target example_face_facemark_demo_aam
[100%] Linking CXX executable ../../bin/opencv_test_face
[100%] Built target opencv_test_face

Lets install is locally:

To install the final library try the following:

$ sudo make install

Once install is completed you will confirm the build output as below:

$ ll /usr/local/lib/python3.5/site-packages/cv2.cpython-35m-darwin.so

Copying final openCV library to Python 3.5 site package:

As we know that Python 3.5 Conda environment folder site-packages is here:

/Users/avkashchauhan/anaconda3/envs/python35/lib/python3.5/site-packages

So we will copy to final cv2.cpython-35m-darwin.so to Python 3.5 Conda environment folder site-packages as cv2.so as below:

$ cp /usr/local/lib/python3.5/site-packages/cv2.cpython-35m-darwin.so 
     /Users/avkashchauhan/anaconda3/envs/python35/lib/python3.5/site-packages/cv2.so

Confirm it:

$ ll /Users/avkashchauhan/anaconda3/envs/python35/lib/python3.5/site-packages/cv2.so

Verification OpenCV with Python 3.5:

Now Verify the OpenCV with Python 3.5 on Conda Environment:

$ python 
Python 3.5.4 |Anaconda, Inc.| (default, Feb 19 2018, 11:51:41)
[GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
Type "help", "copyright", "credits" or "license" for more information.
>>> import cv2
>>> cv2.__version__
'3.4.1-dev'
>>>

Now lets run OpenCV with as example:

import numpy as np
import cv2

# Load an color image in grayscale
img = cv2.imread('/work/src/github/aiprojects/avkash_cv/test_image.png', 0)
while(True): 
    cv2.startWindowThread() 
    cv2.namedWindow("preview")
    # Display the resulting frame 
    cv2.imshow("preview", img) 
    if cv2.waitKey(1) & 0xFF == ord('q'): 
        break
# When everything done, release the capture
cv2.destroyAllWindows()

Thats it, enjoy!!

@avkashchauhan